Why is transparency important in AI?
Transparency in AI is crucial because it builds trust, allows for accountability, and helps users understand how decisions are made.
Can you give examples of transparency in AI?
Sure! Examples include clear documentation of algorithms, explainable AI models, and open data practices that allow scrutiny.
What are the risks of not having transparency in AI?
Without transparency, AI systems can lead to biased outcomes, lack of accountability, and erosion of public trust.
How can companies improve transparency in their AI systems?
Companies can improve transparency by adopting explainable AI techniques, engaging with stakeholders, and providing clear communication about their AI processes.
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